Author

Stephen Meehan

Stanford Medicine

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Connor MeehaniD· 2 shared David R. ParksiD· 2 shared Guenther WaltheriD· 2 shared Leonore A. HerzenbergiD· 2 shared Wayne MooreiD· 2 shared Jonathan Ebrahimian· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Connor MeehanORCID

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2 papers

Recent·Most cited

Automatic Phenotyping Using Exhaustive Projection Pursuit

Wayne Moore, Stephen Meehan, Connor Meehan, David R. Parks, Guenther Walther, Leonore A. Herzenberg

This paper introduces EPP, a method for automated phenotype identification in flow cytometry data, and evaluates it on four datasets.

Communications Biology · Aug 12, 2025Peer-reviewedBioinformatics

MUDflow: Combining Neural Networks, UMAP and DBM Clustering to Identify Cell Populations Accurately, Quickly and Easily in Mass and Fluorescence Cytometry

Connor Meehan, Stephen Meehan, Jonathan Ebrahimian, Wayne Moore, David R. Parks, Guenther Walther, Leonore A. Herzenberg

The paper introduces MLPgater, a neural network for automatic flow cytometry gating, and MUDflow, which combines it with UMAP and DBM clustering to improve population detection accuracy and speed.

bioRxiv · Jun 19, 2025 · PreprintBioinformatics